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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 28-GEMMASCOPE-RES-16K
    11. 2580
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    Explanations

    references to cities and urban locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    "city"

    np_acts-logits-general · gemini-2.0-flash

    city followed by hall or of

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 28-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BeginInit
    -0.44
    balleur
    -0.43
    XmlSchema
    -0.41
     noastre
    -0.40
    ntlet
    -0.39
    BagConstraints
    -0.39
     Vernunft
    -0.38
    seamnă
    -0.37
     useCallback
    -0.37
    uebas
    -0.36
    POSITIVE LOGITS
     getCity
    1.06
     City
    0.92
    City
    0.91
     city
    0.88
    getCity
    0.82
    cityId
    0.82
     CITY
    0.79
    city
    0.78
    cityName
    0.74
    CITY
    0.68
    Activations Density 0.124%

    No Known Activations